TechCrunch

NOVEMBER 28, 2022

It’s only as good as the models and data used to train it, so there is a need for sourcing and ingesting ever-larger data troves. But annotating and manipulating that training data takes a lot of time and money, slowing down the work or overall effectiveness, and maybe both. Image Credits: V7 labs.

Training 240

Training Data Technical Review Artificial Inteligence 240

CIO

JULY 10, 2023

For a decade, Edmunds, an online resource for automotive inventory and information, has been struggling to consolidate its data infrastructure. Now, with the infrastructure side of its data house in order, the California-based company is envisioning a bold new future with AI and machine learning (ML) at its core.

Infrastructure 221

Infrastructure Artificial Inteligence Data Generative AI 221

Agile Engine

SEPTEMBER 29, 2023

Explore Data Studio projects and expertise in-depth Learn more Business challenge: addressing subscriber churn in the video streaming industry The client engaging our ML and data engineers is a premium streaming video on demand (SVOD) network top-listed by CNET in 2023.

Video 52

Video Machine Learning Artificial Inteligence Automotive 52

O'Reilly Media - Ideas

JANUARY 8, 2019

From infrastructure to tools to training, Ben Lorica looks at what’s ahead for data. Whether you’re a business leader or a practitioner, here are key data trends to watch and explore in the months ahead. Increasing focus on building data culture, organization, and training.

Trends 87

Trends Data Machine Learning Artificial Inteligence 87

TIBCO - Connected Intelligence

JUNE 10, 2020

We also help our clients skill up their people to maximize the business value and gain insight from their modernized data architecture. e deliver an excellent training program that helps educate business and IT leaders, analysts, data scientists, data engineers, data modelers, and others.”.

Sport 62

Sport Data Virtualization Analytics 62

O'Reilly Media - Ideas

APRIL 19, 2021

Likewise, we see few respondents from the automotive industry (2%), though we know that AI is key to new products such as autonomous vehicles. We expect that it will, though it’s fair to ask whether AI systems trained on normative data will be robust in the face of “black swan” events.

Enterprise 144

Enterprise Survey Weak Development Team Education 144

Altexsoft

APRIL 13, 2023

For example, you’ll deal with real-time data streams if you want to adopt predictive maintenance which requires constant condition monitoring or implement an RTLS system to continuously track your handling equipment and other assets. to develop all the data architecture and analytics solutions. Data siloes.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59